Last active
February 14, 2022 07:58
-
-
Save daylen/1c3880c86d829ff7fe2fcd6e68f82f20 to your computer and use it in GitHub Desktop.
google location history miles traveled
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import pandas as pd | |
from collections import Counter | |
months = ['JANUARY', 'FEBRUARY', 'MARCH', 'APRIL', 'MAY', 'JUNE', 'JULY', 'AUGUST', 'SEPTEMBER', 'OCTOBER', 'NOVEMBER', 'DECEMBER'] | |
timelines = [] | |
for month in months: | |
timelines.append(pd.read_json('2021_' + month + '.json')['timelineObjects']) | |
dist_by_travel_method = Counter() | |
for k in range(len(months)): | |
timeline = timelines[k] | |
for i in range(len(timeline)): | |
timeline_object = timeline[i] | |
if 'activitySegment' in timeline_object: | |
segment = timeline_object['activitySegment'] | |
activity_type = segment['activityType'] | |
dist_by_travel_method[activity_type] += segment['distance'] | |
print('==== 2021 miles by vehicle type ====') | |
for k, v in dict(sorted(dist_by_travel_method.items(), key=lambda item: item[1])).items(): | |
print(k, ':', int(v / 1609.0), 'miles') |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment